Deep Learning–Based Kernel Adaptation Enhances Quantification of Emphysema on Low-Dose Chest CT for Predicting Long-Term Mortality

From the Department of Radiology, Seoul National University Hospital, Seoul, South Korea (H.P., E.J.H., J.M.G.); and Department of Radiology, Seoul National University College of Medicine, Seoul, South Korea (J.M.G.).

Received for publication April 9, 2023; and accepted for publication, after revision, June 2, 2023.

Conflicts of interest and source of funding: none declared.

Activities not related to the present article: E.J.H. reports research grants from Lunit, Coreline Soft, and Monitor corporation, outside the present study; J.M.G. reports research grants from LG Electronics and Coreline Soft, outside the present study.

Correspondence to: Eui Jin Hwang, MD, PhD, Department of Radiology, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul 03080, South Korea. E-mail: [email protected].

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